Akhmad Fahruzi
Electrical Engineering Department, Institut Teknologi Adhi Tama Surabaya

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Journal : Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi

Estimation of Brake Pad Wear Using Fuzzy Logic in Real Time Akhmad Fahruzi; Adam Yuda Wardaya; Andy Suryowinoto
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 8 No. 1 (2023)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.573 KB) | DOI: 10.25139/inform.v8i1.5760

Abstract

Brake pad components are important in two-wheeled vehicles because they concern the driver's and others' safety. Brake lining wear is an unavoidable phenomenon. This is because of the concept of braking, which involves bringing two things into contact with each other such that they press against each other and rub against each other. Brake pads that have not been replaced make the brakes unable to work normally, so the potential for accidents is even greater. One of the factors causing the problem is negligence and ignorance of the condition of the ream linings, which should be time for the change. This paper proposes a tool that can estimate the condition of the brake pads based on the level of wear in real-time using the fuzzy logic method. Fuzzy logic will estimate the degree of wear of brake pads based on speed, brake fluid pressure, and braking duration parameters. The type of brake used in this paper is the type of disk brake used on two-wheeled vehicles. The test is not carried out or applied to two-wheeled vehicles but is applied to brake pad wear test equipment that works like a two-wheeled vehicle. Based on the test results, the fuzzy logic implanted into the Arduino microcontroller can provide information on the estimated condition of the brake pads on LCDs in real time based on fuzzy set datasets obtained through experimental tests. Based on the experimental results, the brake lining wear test was carried out for 30 minutes with a pressure of 10 and 17 psi. The results showed that the thickness of the brake linings decreased by around 21.66% and 26.68%, respectively.
Implementation Of Fuzzy Logic to Identify Accident Categories In SMS-Based Two-Wheeled Vehicles Akhmad Fahruzi; Aunurrohman Muharror
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 9 No. 1 (2024)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/inform.v9i1.7555

Abstract

Two-wheeled vehicle is the most popular means of transportation in Indonesia. As a result, it would cause several issues. One of them is an increased possibility of an accident to happen. In the event of an accident, quick aid from the public to the victim can reduce the risk of severe injury suffered by him. The person who provides aid to the injured victim may ask for money from the victim's family whose amount is not proportionate with the severity of the accident. In light of this, a system has been devised to identify and categorize the different types of accidents and send the formation to a family phone number registered electronically. The accident level is categorized using the Sugeno-type fuzzy logic method. The parameters used to differentiate the accident categories are speed, slope, and duration of vehicle braking time. The information is then sent to the registered phone via SMS that contains the accident category and the coordinates of the accident location provided by the GPS Neo 6 module. The algorithm is based on the vehicle's tilt angles, which range from 45(to the right) and -45(to the left). The fuzzy logic then determines the category, which processes and produces the accident category based on the speed and vehicle braking duration parameters. The proposed algorithm in this research will be experimented with using a real motorbike. Based on the experimental results, it has been found that the performance of the fuzzy logic method has an accuracy of 88.89% when determining the category of accident (light or heavy) and the time taken to send the information to the family member via SMS is quite fast.